Details

Autor(en) / Beteiligte

• Peng, Wei
• Li, Jia-Wu
• Zhang, Xiao-Yun
• Li, Chuan
• Wen, Tian-Fu
• Yan, Lv-Nan
• Yang, Jia-Yin
• Yeh, Chun Chieh

Titel

A novel model for predicting posthepatectomy liver failure in patients with hepatocellular carcinoma

Ist Teil von

• PloS one, 2019-07, Vol.14 (7), p.e0219219-e0219219

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2019

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• Posthepatectomy liver failure (PHLF) is the most leading cause of mortality following hepatectomy in patients with hepatocellular carcinoma (HCC). Platelet count was reported to be a simple but useful indicator of liver cirrhosis and function of spleen. Spleen stiffness (SS) was used to evaluate the morphological change of spleen and was reported to be related to liver cirrhosis and portal hypertension. However, the predictive value of platelet to spleen stiffness ratio (PSR) on PHLF remains unknown. A retrospective study was performed to analyze 158 patients with HCC following hepatectomy from August 2015 to February 2016. Univariate and multivariate analyses were performed to evaluate the value of each risk factor for predicting PHLF. The predictive efficiency of the risk factors was evaluated by receiver operating characteristic (ROC) curve. PHLF occured in 23 (14.6%) patients. PSR (P<0.001, odds ratio (OR) = 0.622, 95% confidence interval (CI) 0.493~0.784), hepatic inflow occlusion (HIO) (P = 0.003, OR = 1.044, 95% CI 1.015~1.075) and major hepatectomy (P = 0.019, OR = 5.967, 95% CI 1.346~26.443) were demonstrated to be the independent predictive factors for development of PHLF in a multivariate analysis. Results of the present study suggested PSR is a novel and non-invasive model for predicting PHLF in patients with HCC.